AIML - Engineering Manager (Core ML), Machine Learning Platform & Infrastructure

Santa Clara Valley (Cupertino), California, United States
Machine Learning and AI

Summary

Posted:
Weekly Hours: 40
Role Number:200530306
The on-device machine learning platform team in the machine learning platforms and technologies group is looking for an outstanding manager to join our group! You will be leading engineers who develop frameworks and tools, passionate about the shipping great APIs to our developers. Our group plays a key role in supporting numerous ML-powered experiences at Apple. We are looking for a leader with extraordinary interpersonal skills who can work closely with software engineering partners to help drive and craft Apple’s product roadmap. Familiarity with the ML model development cycle is helpful, as is understanding performance in the context of ML workloads.

Key Qualifications

  • Strong and validated management experience with knowledge of ML development.
  • Creative, collaborative, and product-focused
  • Excellent communication skills
  • Passion for clean software architectures, intuitive UX design, and high-performance extensible software
  • Experience crafting, building, and maintaining mission-critical web services or tools
  • Proficiency in Python and C++
  • Experience with ML performance
  • Understanding of machine learning fundamentals
  • Minimum three years of experience managing a team of engineers
  • Familiarity with Machine Learning Compiler Technologies such as LLVM/MLIR is plus

Description

You’ll be leading a team of engineers who build and maintain CoreML, Apple's on device ML framework that supports numerous ML-powered experiences on Apple devices. You’ll work with a wide variety of cross-functional partners ranging up and down the SW stack as you push the state-of-the-art in terms of exposing the details of ML inference execution and allowing ML developers to get the best performance out of Apple Silicon. Because this product is already central to many user experiences at Apple, you’ll be able to engage with and drive additional efforts related to 1st and 3rd party developers. You will help guide future of ML hardware and software investments at Apple.

Education & Experience

Bachelor’s, Master's, or PhD in Computer Science, Machine Learning or a related field.

Additional Requirements

  • Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
  • Apple benefits programs vary by country and are subject to eligibility requirements.
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.

Pay & Benefits